Candidates must be authorized to work in the United States without the need
for current or future visa sponsorship.
Bachelor's degree or higher in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering or data analytics.
Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience.
2+ years of experience with Linux command‑line tools and scripting.
3+ years of Python development experience with expert‑level proficiency.
1+ year working with Big Data processing frameworks and tools.
Hands‑on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery.
Strong proficiency in SQL, Python, Linux shell scripting, and data modeling.
Solid knowledge of data modeling techniques
Ability to analyze source systems and transform data to meet target data model requirements.
Experience working with large‑scale data warehouses (10+ TB) and high‑volume ETL/ELT workloads (50M+ records/day).
Demonstrated experience delivering end‑to‑end technical solutions within enterprise BI/Data Warehousing environments.
Experience with performance tuning and optimization across the data delivery pipeline—from ingestion through analytics.
Experience working in a Scrum/Agile environment and tools such as Jira.